Hi!

Thank you for helping me today. I have a question regarding the sign test.

H₀ (Null hypothesis) = introducing a flicker has no effect (or decreases) the ability to detect two nearly identical pictures.

H₁ (Alternative hypothesis) = introducing a flicker increases the ability to detect a change in the two nearly identical pictures.

Q1) Suppose you set an alpha level of 0.10 (2-tailed) at the beginning of the experiment. State your decision with respect to H₀ and provide a conclusion

Q2) What is the probability that your decision to reject or retain H₀ in Q1 represents a Type II error? Explain your answer

{QUESTION 1 AND 2 ARE RELATED TO THE TOP H0 AND H1}

Q3 is not related to the information given above Q1 and Q2

Q3) What would you expect to happen to your alpha and beta levels if you were to halve the sample size for your experiment ( Sample size =25) and alpha (0.05)